TikTok Shop - Data Scientist - Recommendation

Singapore Until 8/21/2026 H-1B sponsor history First posted March 29, 2026 Last posted March 29, 2026
Job description

Description

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
The e-commerce data science team aims to maximize the efficiency of e-commerce transactions through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more diverse, inclusive, candid and efficient working atmosphere. We sincerely invite excellent data scientists to join us in building a first-class e-commerce platform.

Responsibilities:
1. Use causal inference, Machine Learning and other technologies to actively explore opportunities in traffic, products, operations, strategies, etc.;
2. Through keen insight into the business, Qualitative and Quantitative Analysis, model construction, and experimental verification, complete in-depth special project analysis and give strategic suggestions;
3. Efficient communication with Cross-functional team, promote the implementation of strategy application and continuous optimization.

Requirements

Minimum Qualifications:
1. Bachelor degree or above in computer, statistics, data science or related majors, master's and doctoral are preferred;
2. Solid foundation in Machine Learning and Statistics, proficient in SQL, Python /R;
3. Familiar with e-commerce search or recommendation strategies, relevant experience is preferred;
4. Good at communication, proactive in work, have a sense of ownership, strong sense of responsibility, good teamwork ability and pressure bearing ability;
5. Have strong curiosity and self-driving force, like to accept challenges, Aim for the Highest.

Preferred Qualifications:
1. Have excellent communication skills, an open mind, and positive critical thinking;
2. Strong driving ability, open and inclusive, with the ability to actively think and explore, with a sense of ownership, and willing to bring positive impact to the team;
3. When cooperating with XFN, there is no boundary, Always Day 1 . Hope to promote the change of the e-commerce industry, willing to make complex things bigger and better.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About this role

Summary

Develop and optimize recommendation models for TikTok's e-commerce platform.

Job title

Data Scientist - Recommendation

Experience level

null

Industry

software

Location requirements

Singapore, remote work not specified

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

SQLPythonstatisticsmachine learning

Preferred skills

communicationownershipcritical thinkingteamwork

Specializations

recommendation systemsmachine learningstatisticse-commerce
Locations

Structured locations inferred from the posting.

Singapore

Work arrangement unknown Country
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